{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 基本信息\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import Series, DataFrame\n",
    "\n",
    "# 股票数据的读取\n",
    "import pandas_datareader as pdr\n",
    "\n",
    "# 可视化\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "# time\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "start = datetime(2015,9,20)\n",
    "alibaba = pdr.get_data_yahoo('BABA', start=start)\n",
    "amazon = pdr.get_data_yahoo('AMZN', start=start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "alibaba.to_csv('../homework/BABA.csv')\n",
    "amazon.to_csv('../homework/AMZN.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-09-21</th>\n",
       "      <td>66.400002</td>\n",
       "      <td>62.959999</td>\n",
       "      <td>65.379997</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22355100</td>\n",
       "      <td>63.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-22</th>\n",
       "      <td>63.270000</td>\n",
       "      <td>61.580002</td>\n",
       "      <td>62.939999</td>\n",
       "      <td>61.900002</td>\n",
       "      <td>14897900</td>\n",
       "      <td>61.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-23</th>\n",
       "      <td>62.299999</td>\n",
       "      <td>59.680000</td>\n",
       "      <td>61.959999</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>22684600</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-24</th>\n",
       "      <td>60.340000</td>\n",
       "      <td>58.209999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>20645700</td>\n",
       "      <td>59.919998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>60.840000</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>60.630001</td>\n",
       "      <td>59.240002</td>\n",
       "      <td>17009100</td>\n",
       "      <td>59.240002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close    Volume  Adj Close\n",
       "Date                                                                       \n",
       "2015-09-21  66.400002  62.959999  65.379997  63.900002  22355100  63.900002\n",
       "2015-09-22  63.270000  61.580002  62.939999  61.900002  14897900  61.900002\n",
       "2015-09-23  62.299999  59.680000  61.959999  60.000000  22684600  60.000000\n",
       "2015-09-24  60.340000  58.209999  59.419998  59.919998  20645700  59.919998\n",
       "2015-09-25  60.840000  58.919998  60.630001  59.240002  17009100  59.240002"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alibaba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21273c3f710>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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H8963Vmjox5sb9xWUVjc6h1/6v8M9x9ceN5q46ChErIdwc+wurmZfeS0jcpIZkZPsc61P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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['Adj Close'].plot(legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21272aa3550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AHNavI4DEAtPL5r+3PmIT6F5+Dy/NwfpbOvk33/56C/75yVrs2d+Eu3802rvi\nWYA1Bw/cO6warZTaNXNhVrrvvVXo9/s3sL/R3XGZ6ZCtDgROD1Rcc2DhICEQSpUorlRNe8meLps8\n2a6WSIt0ckjLZ0NOQKIxYeoHQoikhFPMYVBMWF/9fyo7wcWStCs1eaw/qalvsk12vPJOuYUrx4Sw\njRvGZEu5py/X77YdyyUsHDxw67DJRit9sHwbzn70s5wnn/vXF9oinBolJ71Nc/DB51CsZ9t0msHJ\nz9JJq/yLZ+aj6prX8ae3lmdUx3yQQHHITHNQ+53Hd+MO6eSkQ+JEfnaHtCxD+hUm3vUBRt8ST3Od\nvCATKZ2vnptK+8kzEykbXmHCNfURW3++572V+GCFcxRevZvm4DDYO/leHp+zBkD+glhYOHjgKhyU\n116D7C//vQCfr/7eHLWQp4m0LWV3hsIhGhNGuKpTOxmzuzTKmbVsKwDgoQ+/S7t++cJTcyCgTEnc\nlqpWpZ7tNPAs3rDbtG9AOtd1wklziFg0h42796Ou0RyamYxsimUw0HtNPK59+Su8OD/uLDfyHSXS\nkjyFQ5Pt95275nuc/895jud7aQ6GIkPxY4BzO+QriIWFgwfJbPPn1UGlPVb9wXOxf6xTtVuVmLNJ\nZlINOajJWaPTtQxHY8GZlZyPy8GpVHFIew2Ie/Y34aUF1Y7XAGAaiCWnPvAJTrp/TjxiKknBrPbn\nT7/bYdu5rcHJIR21+xxU6iMxkwnNDfk8pJKiI5n9HJ6bux5Xv7RE+Y72//UlmzzbxcvnUFMfSclX\n57YDXlTxOchJm1cK/HyFsLBw8MBtEqH2La/nTzrkVLtkTveCUHpVRak59iCTesjvFnv4FZKdqbU0\nvH0OZs3Ba6Lwu5eW4DcvLsayTXFNQD3by5+UTASQ1XkMAKu21eCcf3yBP7y6zHSuUyir/F3dAiyi\nMWEyoblNEtR6JBuVk44TW7bFC/Or8cmqna7nJTQrpdCf3dY5qELN0Bz0Y1q4rLkM1hyaIa7RSuo5\nXpqDLhzU2YjNEZXNmbVyaesmJZkUG7UIB6d2cnM0tvR9HRLN1lXNwavvbK3Rcuyo4ZDqpZ00B+O6\nRtu710MdoORvtatO81Gt3KplLh3crRKA8yI42W/DIfchRO1zbpqB2gYH3fZuUmYxt7Q2Xqineu1n\n3ujhkN7XYI9W8qIhEoMQwvadWEwoa1Fk/bQDTVGBq14w71Gdr+h3Fg4euEUimLOyJhYOqsPWOnhk\nc2btdeVMfA7ydoqLdJXY4YFJJ369JSDv23rb8q1qakkl5bT5KsCjs1fj50/NMwUdSHbo+Xm8FlR5\nOUVDRAiHCEN7tAHgEq2UxO8jcxT9AAAgAElEQVSqrulwE2bW66zYUgMhBO58czm+3Vrj/J00hMM3\nm/car70EgLfmYI9WSkRDJGbzY2ihrGbUW3ll0SbTZ7kwRTvBwsGCOquwPkCbdu+3ne/tgNQ1h4ji\nc7AKh6z88MKhbtrrq48/UHuXic9Bag76rNHZ55B49pqIVsrMc/X2fbj7nW+b/bajXjNLIrOJ4N2v\nt2HqPbNT2oZT8p+F1Xj3m21Yvd2egnrTHq2femsOdlOn7JtE2jEZjqyuc1hSrYdXWjQIJ1QTmpsZ\nzPpzxoTAztpGPPzRdzj38S+c667fWCrCVTXxNHg0TMJ1Dkl2Pxmt5yQcNId0vK0B87jQyqLlewmz\nbMLCwcK3Sn7229/4xvTZ15u02UfMpDm4X0s665pMD6L5nGwIB1k980puoEtlKU4e2QNAZjlcZEeW\nG8c7zaaMOmRQTqfKEuP1uY/PxX3vrTStVG+OuDuk7cf+9u63WL6lBrv322f/yjc9r+E00920WzNJ\nJas5WLWdEBGEiP++6sZUN/5P80fI39WrH6kmtLqmeJLBfQ0R193SYooZxm0MNwSTSK9/ea1lsArq\nCQM6Gq8bIzHUK0KuxGNFa/e2rQAADU1RW3nawlHz+eqkp11rLSeVzGzbo12ZaznZpCCFg5qf3soK\nF1UWiIe5JbNCevOe/dii52aPWBYHqWTTrKQ+OEJosxSZDC2TLRPldb0c0rEUzA9W5KxLjYTJdB/j\nXOGl2bg5Fp0ifpzOdLqynFWq5X5fq/22jR6z4EjM3ieloJHVsWbWVVG30HW751bF8SAIaVbauHs/\nht80y9gQx6p5xwTQZPgzXOqu3Je1f721dAuqrnndtd6At+nI2s+se0bvVcx4bVrF78/aBnJAb4jE\nDG3kyIGdAFjSZ8hoJaXYyjLtuj3alun11c5fv7MOizbsdq273xSccLj6xcUYeuMsfLhiG2Yt24IN\n39eZPnezcwLx5fDJCIcX5sXDEJs8opVSWeWZKmpZAgIEQptWRSgOE3bWNqK2IYIZc9enbKqRt1zk\nsc7BKzQPAN5fvtWUoVWtg3RkOmok+VookiSumoNHvZO5ow3f12HuGvu+49JEsne/fcLjZY6IOGiz\n8ny5stlrZhzfQjfmGpWjan7SrLRO34ntzaWbTddRr9ugO6/dwmTVulv71+NzEm9P6+1zMF/P2ga7\n6+LCoVvb+Ix+7U7zONKjnaY5fLZ6Jw79o5ZW5tTRPVFeEtZDWc2ofV1GFkoBLsePiX/+AKc98Ilr\n3f2m4ITDi3rs+AfLt+EXzyzA1Htmmz7fVeuu4stFLepP++L8DXjn6622c1WVXhUOtqyOQqAxEsvK\njMBqVpI2747lpdhR04CbZi7DNS9/hS8cBh0v5ANZbKxzcBIOTn6POBc8OR8/eOhTx7rKmWEQk/Yl\nCmV1IhnT4pF3fYAnP11rOy4HupXb7JMa1VcAaHH3hs9AHQT1l3KQl2OyNCs5EXdMuy/26lQe3/Bn\nf2MU1778Fc55zOxHsP7GsZhQ6uEmHITjawBo26rEeroNLy3UqlWopjEAJhOgNB0BwHLF4Q0APXXh\n8Jiyl3pxmBAKkcmsJG9RnRy1b63dg7FNcUtOn0FEU4loBRGtIqJrHD6/koi+JqIlRPQeER2Q7TrV\n6jOZWoujzMsM0hCxm5We+mwdLnp6vu3cJpcObNMcYgJ/eHUZTnvgE6zbmdn+thJZgllziA9OnSpL\nsGNfg+F89zKzOWFb5+DQZh/qKQWcbMpe1wTiM0PHQbN5Kw7KfZgr6qWceW1S74S6ZkUOZnsdopas\nM+Rfz1iEU/7+CfbUNTn2SasGUOQRphqPGIrZVmtPH98HJ4/qgS5t4sKhrimK5+auhxWnAA1ZD7fE\nfepgKZ8ZIQT+t2gjWlsWezrhtjgNsAsHu+YQN8f2UDSHXXXm9peag9qmpUUhFIVIz61knjxFYwKD\nu1WitCiEMv0eohbNQZIrB3XWhQMRhQE8AOAEAEMBTCeioZbTvgQwTggxEsBLAO7Kdr2+qnaOp/Yy\nsdzy2tcYe+s7jg+6dSBTHVs7ahowZ+UOx+tHYsKYuaez6bwXdp+D9rB1qijFztpGw3yQ6gxd3qvh\nkHb4/uLqPfjbO99isUUjcpskq+0nVXsnZ2cq/kfzQq/cSBWnYAADl4l4qn4ZdQtOOVA4RdlYB5EP\nv9UEdiQWQ62yC538pjSbyn7itR9DXDjYB9uDDmiP+6ePMc38r3juS8fr2H1wMMxKbsWrfWXafXMA\nAAvX78b/m7EIMxdvcv6SglNY7bJNe/Dt1hpc9cJi03Hrdrfqpl/d28U1h/1NUdO9dNcFxzrF3FQc\nDiGsaw6yzWQf/2DFdmzdW4+qjuWGqVn2C6ums8czgME/cqE5jAewSgixWgjRCGAGgFPVE4QQHwgh\nZCt+DqAXsoTsr26OZy8VPxoT+L62ETUNEcNpKnl5oTnVgfqw/vLfC/GTx7/Atpp6x0Vw0h7r9xai\nJrOSMheVZiUyPkv1uto3Sjx8DgBw73srbTHbbpqDk6rvdG46G7x41dFvnLaABLzb2KtuTrd77QmD\njddSADiZHqxtKhfURYUw+driddbNOfrxUFLCwe5zSKYbS0es9WffU9eIXfrsfO3OOpzqYGN3CmFN\nZT2NU1jttPvm4Li/zbZNSKyZZVWfwwEdWivXNIe5tmttN28Vh0MIEWnPvN4/YrG4Q39XXZMuPMya\ns1VzuPe9bx01Rb/JhXDoCUDdLqpaP+bGhQDezFZlEvXbZMx7K7bstancuy1qpdMDv2Z7rV3DiAlj\nL2G/BzDTAyPiglEzKzXakn4lfV29r0rNIZXvu4UeOoUXOjq6U2gj9cxcpfGQ1XOancoB8Z/nH2z+\njofmVtMQsWkAh/TtiHnXHQNACwutuuZ1PPjhKtt33cwPDU0xPDI7bgufeNcH+Kp6j6I5uNdHIpuz\npiFi2wtbDqjekVvaf+vvct/7q3DJvxYa762aJ6A9M9YZfW0K+3HXJmFGlZFFRMDPDq/C2Qf3BmA2\nKx03rBuuPHYQAO33Vp+DsmL70Fqim5UiyoRwf1PUEBRnjOmJojDZVoBbtcJ/fb4ee3OgPeRCOCQb\nlQci+gmAcQD+7PL5xUQ0n4jmb9++3ccqxklm8IkJ2DQH68YeTiaRsx79HJ9+t8N0LBoThs3fK8Qu\nFYTFngnoPgcpHMpL0RiNGQ91quNmfJ2Du8/BjZhwvk8ns4jTbyEfmNeWbDJ2nXMvS7Gr58i57eq/\nUW6le1tz3LqX4Dr/n/NwxkPm2XNZScgYfOS6j2Wb9tq+62am/HZrDRZt2I0TR3TT6xzFyX+fYziW\nZc/2EhJSK3nko9XGhjoS+b2xfdq7X0DHa82BG5GoMIIhJLUNySfu80o9IhnaXVsdHo0J3HzKMEwa\n1BmAthBOEg4RrpgyEJVlRSbhcPXxB9pCYAFdcwiZNYcHPvgOt76mracac0B7TXhErcLB3kbWhXLZ\nIBfCoRpAb+V9LwA2wyARHQPgOgCnCCEck58IIR4VQowTQozr3LmzbxVUs19GY8mlGrbOXKxbArqt\nen3jqy2m9+omKX5HJagDohDCmLnKRTYy/DH1UNbkzEpu33VyCDo9AM4+B+3YZc9+ieMtkWZWTGal\nHGkOO/XB2jp5AJQoIMvAlqj9lm40D/wl4RAqSotQEg6llSdIBmGcPqYXLjqyr3G8weK/8Nqsx2si\nI82jvTu0xto7pzme8+l3O7G9piGpCZFt97VYzGaCTUYbOKRvBwzsUpGUltG+XDML1TmYfA+uao//\n/WqC8b51SRj7G6OmCCQnzUE6pKNCmOogHfUVpWEUhUI2s5LT72jNlZYNciEc5gEYSER9iagEwNkA\nZqonENEYAI9AEwzOO2dkkd+8uBivfLkRr3y5EVEhTKrO+KoOmHHxobbvWBcIJaM5APbZmDowyO+s\n31nni4nJTXMwtvDUyxAAnv1iPd51CMl1vK6xCC4Ns5IQjnvrWu3j8iFy+n4qZaXzvUyQC9CsA6vq\n87F+lmrdiEgLSa4oweY95pQuau4mtU3V3EJf6eGsxWEyFkUCwMMfaftnGOYljzp4Rcwkuz3pkurd\nSS1udIpoKrI8f3VJDPhtWhWjb6dyLFy/G9Mf/dw47iSg2usTKDmIq2G9I3q2w6je7Yz3rUuKUNcU\nFw4hIrQpi7erRGoOjZGYo6bTuqQIRWGy5Y6KxIStjrkQDlnfQ1oIESGiywDMAhAG8IQQYhkR3QJg\nvhBiJjQzUgWAF/UIh/VCiFOyXTeVXz+vZUIcd4BZFQ6FgEP7dcRRB3bGByvipiy7cDD/eG4zIoJ7\nVtdINIYN39dh4p8/wBVHD8CVxx2Yxp3EMQkHEX9opb9EpvWICYHf//crADBmek3RGPY3RR07ud2s\nlFqdnDQH62BTFCZHTSpdy1uu9pWQprqGSAyRaMw0iMnhxeqvSnci0LGiBJv1VBmSViVhoy+qbXrC\nvR8br//x8RoAWh9u08r++zZa1js44TWoJxtXceFT9hBwJ7SNpbTXQmiatjqTX7WtxjMnkqQoRMag\n+tnqndi2tx4dykscBZ0UmlIjUbPPVpSZh81WxWHdIS01LqC81D60FocJq7fXGvmwBnSpwKpt++LX\nLS1COESoazRHKzVFYzZTmN/BK07kZJ2DEOINIcQgIUR/IcTt+rEbdcEAIcQxQoiuQojR+l/WBEOi\n3OhRYV69KH+ECssgaV0gZB3w3B54a/lq5EUkJrBhlxZF8nmKC9NUZMlqFWKKRmTdwtNp4nr5s19i\n5M1v2z+AkpU1ZL5OMsQcQh8BuzAtDoccNYfUNqJP73uZoP6e6hoatS5hS9/5auMeYy+DWExgW415\nwHejY3kpNu8xn6smu0sUD18cDjnaro1FaB66Q2MkhqqOrR0/83v/gb31Tfhm814s3bgHS/QQdHX1\n9LT75pjyl7kRDpFp06vxd7yHP7653KblD+5WiYpSqTlov6FqCqy0DPytS8Imn4Ob5mQ1RU/o3xHd\n2pQZocnlpUUoLQqjVs89tU/3bzRGYp77d2SLglshnYgv1+82PchyRmK1E1sXx7wwvxoblayt1g4n\nHySnaCX1tXwwk9lFKxFWs5J81qXWY6xEVs6T9XtrmeYbcdKAktnsBwBuOXWY7VhUCMfc/raVqUUh\nCGG/tpcJ5lf/Xoi+177ueG6ufA6qtmON4pFjhjUtxG9fWoJT/q45nV9ZtBHjb3/P2Fzei44VJba2\nVG3dm3bvx9R7ZqN6V531qwC0CY51wALiWoHbGC/0Vf2jFdOKilvaC8n5E6o8P7fyo4c/wwn3foyT\n7p9jhLaqM+eGSMyU+diN4nDI9lx9vHK7zT/YGIkZ2oFhVlLKs2kOhnDwLt86ZpSXFqGkKIRduimy\nojSMwd0qsXLbPtw0c5kpfUYyPhW/KVjhcPKoHkmdJyX29hqz42+jQ/puNcWwtcMVhUPooixekpz3\nxFzTd+QCIKdoh1QxL4ITxozGa+9nqw3bKWTOSJ+hP2jnPPYFXpi/wXbe8cO62Y4JN5+D5eGW6r/V\nXOclHF7/arN5lz5Tua5fM19jyWbHe0kW1bzhtNAMcDYJyP6kmi4T0d4hll61Rdc2RrF8S42R5M5K\niR53b8WIWrJ89rup2vqK/U1RNEZjjrH8gGaK9SKZKCYVa94iwKy5F4UoKcd2OES2AbpNWbHtOWiI\nxIxV6NKco5Zn3VVROqTljyzbVHVaA3ZT9IHdKlFSFDKEQHlpEUb2agsApt+sKSpQ1xAPM5YBJdmm\nYIVDx3LvHCyH99dS9UqJbZ1x1NTbJflOJZ20VXOICYEhenhcOEQ4enAXAOawuqaoMCKIrNEOc1bu\ncIz59kKtQjQmjNmP7Oiyjo8qMe8bvrcIB4f7jO/nEH9gfqvs1ytRnZ3vXjnRqJOjz8HycMcfTnP5\n0Zh9Zy03Eu31fccb36DqmtdN0Vq/enah470ki2pWsvYRaabxshev3r7P9TMrTtqlU/iq20S+KEyO\ndTGys1qOy2yhNfXa2ovSohD+eMYI2/e7tWllO6bidf9f3XwcTh/T0wgddb0GmWfyTbGYY4SYSnGY\nbDdVXlpkSnUDaG0o71Vqf14+B80hbfY5AEAny2SwpCiEx88bh19O7o+HfzIWp4zqYRJWrUuKTI5u\nQBMEqubwrwsPwaIbj/O8T78oWOGQqCNdMEEL8ZOzv2SGI/UhtDlTBTB1uDaTjsYEfjm5v+370ZjA\n7v2agLFqDj95/AvH1aKAFl0yc/Em46GWY52wDI52zUE7X42R37CrzmSr9tIcVGer3FIS0GZyo3q3\nM81iO1dosf21DRFHs5I1vFA69KznxoRIaCKS9vtEPgcpFJP1R9Q1RgwTgJXZ325H1TWvY+2OeH4s\nt5BJt8Hx31+sc1yv4IZ1Jjqkexus2WHPz/XJqh22Y/L7TpqDTC5HBDx9wXj89LAD8Ph54xTh0ITG\naAwlRSEcMaCT6btdKkuNHeQkcqIlCYcIN51szaCjUVlWjL+dNRpPXTDe8XP1GpKK0iI0RYTJ3+L2\nHevEoihEtszIjZGo0f+czEpWn0MrXXMwhEPIeRFgcTiEKUO64ndTB2Pq8O4gIlNiv/KSMLq2ia+B\n6dupHMcP7YbNe+qxcZc2aXNydGeLghMOl+qDsleueiA+S6qzhJxdMWWg8drJXiuxLvEXAE4a2d14\n7zRAvLl0M+54Y7n+efz4njrv1ZB/fGM5rnjuS3yx2uzEjlqEg9QYrA5pID7b2VPXhC2Kk9NpJiqP\nDepaYRwb2DUuHJ67+FC8cunhpu+0aVWEopCWKtxJc9hnmWVLzUGLHxeGWS8aM9f7f4s22nP73PYu\nVm/fl/R2rslEugDAsXfPxphb33H8TK6VWazk7Fq6Kf5arYtbzqLr/rs0qXpIrP3vd1Odo9us6yTU\nejj1Qzk5+PS7nZg4qDNuOXU4pgzpakSu7aprghCaWcpah4MOsJuMLp08wFbuYRaBkSqqUItEBeoj\nUc8sssa51vQYIbI5sxujMbTWJzYygZ460bFpDsWaz+G/X24EEDcRVlqCWJwmpFJzKCsO2cJzh3Zv\nYzjQr3pRy/lUnkRiQb8oOOFw1XEHYu2d0xKGgskfVqpz8uHu16ncOKetJQxQvaJ1o5WYEKbO4jRA\nfKjYm9VB+evNzg+3EAJV17xupHK2pmhWn4NILB7+JwWjajuV59Y3RU3+lJ37GnDDK0tN0RJyMO7e\ntpVh/3xVSXhWEg7Z7NUyLn/nvgZH4VDT4Cwc6hqjptl0NCZMwuH/zViEOyw79gHAhl37bWY1N5zC\nMldsqcHC9btMx9R2WbWtxnRNtT/JNrnrrRWm7xsO6QzCEF/4xWHGa6v9vG2rYvz9nDFJXysm3DfU\nAeyajxwUjYV+RSFbHaxmEQDo27nc9D4cIpNmvNjFTPKLif1c66b6GLbsrcezX6xPqAHu3R+xnRMm\ne8j0xRP7IxQiPPGzcXj+F9oaJzXKyaqhtC4JY39TFK8u0faokDtGtm1VjGV/ON44zymKSwodqx9D\nO9/eV1qxcMg+icLtpOZg7W+VyqyhTZm7itfgYA5RsarzbcqKTNEt6gAqhYMqmAD7LEjOgKXqbLW5\nh8miOTjMphsiMdOm9fe8uxLPfL4OD324CvVNUTz44Soj6VdZcRgf/maybfboplF1KC/Fxt37DVu8\n2gRWzaG8VHsI6hqjJtPWhl11Nlv+lj320M8wkel7TuOGfO6cVrMff89snPHgp7aIIwBYs6MWx9w9\nG6NvedswM6n34rQ2JJFDOhkmDeqM8X07GO+tM9G2rYoxrEfblK55cFUH9OtcjpmXTbB9Zg2FlX1f\nLvQrCYeMoAQAeOJn43DxkfYBvWe7VljzxxMN81JRKGT8vqN6t0NbFwfrIEUbtTK4u/2zvfURHN6/\nI3562AGm4zecpJmw6hqjtmdm7c5a3PlmfHKx9s5pRr6kowd3NfZsUEN+rZPCViVFECKeB0oVquWl\nRejaxh6IIpG+RSdzUYjIZlYtL8mdWSl3JTUzEj2eTg84YB7UrQuIahuiWLOjFn07ldvMMdbBz5p2\nt0e7Vtir5ApSI3pkBk1redYZj5xNyUHf6nOQg5JchOUUNVTfZH6A5N6/972/Cve9ryV3G6bblMuK\nQ2jX2r6IqKqjWYhJOlWU4OOVO/DJqp0AzKa9fQ3m9pBx5vubIqY0IL99aYmxkYrEyW4eCsGUWsLJ\nrEREgBCeZqU/vbkct5423HRsq779a019BNe+/BUePvcg05qAzpWlWP99nWkiAcT7XKJQTzess95i\nixBu17okYb9WqerYGkSE96+aDEBL/DZ75Q6j3S49yuwXk5qvXDBZUhQyCaijB3d1LYsonlAuHCJ0\nqSzDO/83Ef06V7h+x8tMNKJnO1sqGgB49iJtpn/FlIEYd9u7AOIb76j7U0uWb6nBcv25e/y8ca7l\nqQEi7S3BLNY9JHp3MK//ePXyI2yBHhIpdForg/4VUwbivvdWIhwim/bWupQ1h6yTaIm/UywzYJ71\nWQVIYzSGo/7yIWIx+ypg6/CjOnABGB1Uon5fmnSaojH8edZyPPCBNkhb/RpSWMgQx282x6+pCgc5\nS3HKC//YnDVGymTAOSpL1s1pCf9lRw0wqb6/PmagkeHSGiEWU0xE1hl6hf4Q7G+Moc7SltYwYqeZ\neJjIJBzUgXVfQwR3vPGNZ2IziZNTWZUz39fJdBnxY8VhQlXH1qipjxh1UL/jlQrbC6twsIdlFhkT\niJ8dXpXwelbt+e6zRuOKKZp/oFNFqW2wt2rKJUUhFCeKW1WIKsIB0PxUXlqU0zMqF4xFY+6L8ABz\nX5NRXZGYcE1rA8Bm81fxcnZbFxJaJxNdKsscfTGAalaKX6OPLlxCZBYORQ6huNmkgIWD+b01dNTa\naW85dTgundwfEwZ0whtXHImPf3uUY+oBQIv2UDWHm08eiucuMudn6lhRio9/e5Tx/lbLgjF1YJM7\nbUWiAg988B3+PGuF8V5F2s47VWgPxn8WVGPnvgZs2r0fUREXDh3LSzw3cpEbEwH2VOQAUKI/KE4P\njNWk9OtjBuGZCw8BoJmVVCIxYSzQsgohKcC27q03dpVzxeFWoooTGzALgL+/v8oUvptMfh8VVSOT\nD6s6kBWHQ0Zs/n8XboxrVklqDDIaxtqWVuGgajyjerdDkb6ZzPJbp+LGk4bi82unmM6//GizY9ix\nbF0AODlPK8uKcfePRhnvS/RcQckiF78N7OKuLag49VHZ3k1RgXeunIT51x9jhEmrSMGn2u1jMWGY\nEK+fNgQXW3waXs+E132qk6GikHNeJTekcFDNSmP6aH6bk0d1N02aIjHh++pzLwrWrGT9sZffegKq\nrnnddp5cm9CpohS/1RcByVC9604cYjhipwzugveWa4PYjn0NJp/Dz/SwWCvqzPvcw6rw0oJqI9rl\nu+21uPDJeTh8QCcjPFKNqqhvitqiLJ79Yj1ueGUpDtBnVKt31OIgXbUe0r0N2rYi4947V9pTL0is\n5hArcnC07q8LeEdwOV135dZ9OKBjuV1z0M+95bWvPesCOM8wI1GB7cq6E1N4rmWjlHgIsFdEU/z7\nDcprafpQJ9DqxOL2N77Bo8o+wvE6Az8Y28vY01yltDiEmgbgoD7t8dnqncZxq49oi75g8YopAw07\nORDvV92U1OB9OrTGLyf3R9c2ZVi2aQ/OPriP431W6uY8N5POGWN74Up9tzT5W58yqkdS23OeNLIH\nThrpvPj0rjNH2q5hfUb/eMYIbNlTj3vfW6nnWwqhU0Wpa/rqV341AZ0qSozd2KIxgYmDOuOVRZtw\nxMBOGNytjWmSkGjYveLoATjUIcpKLT9RFKQVJ+HQv3OFkePsr29/m9L1/KRghUMyAnjhDcd65k1X\nH77TxvQ0hMOe/U2oj8Rw6ugeuOpYc3jhjIsPNRylVm3FOrC+t3ybcU0ARsIuALjo6flYsM4cTbNI\nd4ht3WtP4/zN5r3o2a6L8V5GRwzt3sYWDeXki1BZvqUG3duWOZqVvGZf6vk927XCxt378fOn52PS\noM746FvzyuBUHG9O49jHK7ebchupmpzV5CdTLzhpEE0xgTU7ak1OSFXVb1Ucxta99abFgta6Sw1G\nrebqP07D/saoTTg89tNx+O+ijXh9yWbUNUYwcVBnzNbbZoDFPj9GN1VMGdwFifj9iUPQuqQIPzn0\nAM/zDM0hCXORnMXfNz35CCk3fjSut+2Y+puN7dMO08f3MTY1UidGbqlmZHqPan2NQFQInDG2F6YM\n6WpzKgNmoe+EWyJMNVeW0y51XsgxoLXLOHPJpP741bPa5kdyoporCtas5JRU7ImfaQ6pB388FgDQ\nobwkYeiYVL/V1Bj1TVFEYwL9O1egj8Uuemi/jjhOTythHVxvOnkYRvVqm5Rd8eOVO1w3Ldmzv8nR\nlqvOsFfq2SAvmdzfEJTxVduJ87j06eBs7/VKEHbyqPg6DzUvj1UwAM5qvJvgcdIc/vHxGpNZSWoO\nby3dYiwokjz92Vo889laR6H46uJNOOovH5qyZ8pV7ICm6h9yx3t4XQ9jBJB0DL+1b/XrXI5jhnY1\nIn4WV+8xHKiXTOqPP1hMj0cd2AXLb53qGD4q6d1Bc8a2aZWcsJUz2GTWDHhpiX6g/k5yU6MzD+qF\nYT3a4KeHVRmfefkKgLgmJ81yqmB49NyDcOroHrh/+hhMGpjeHjFq/+uQIPOCFTn5dGvvaSO7Y+2d\n0/DdHSfitcuPSKt+6VKwwsFpnDl6cFesvXMaThzR3f6hC+/83yQ8/JOx6KKsbJSZHJ02/FCxqqDD\ne7bF/y47AnOuOQq3WZxaqeLU1ZyccRMHdjK0CNlRk9kpq7NDnijAnInUSq/2rXHGWG2H2P5dKjC8\np3kmpD60TZGY7fPu7cw7qEmIyDEcde2OWsP/0hCJorYhgkv+tQBfWDLevrigGjf8b5ltTw4VNa2F\n6si35qICgGOHOkftJJNdnFgAABbmSURBVJpVyh3i1GiXQ/TQ1TMP6umoqSXK6y+1omTt4HLAt0aE\neZ2bLSYOiq++ln2zS2UZXr/iyKTqJ5GDt1P/P25YN9x79hicPKpH2oECavTZa5cfmdJ3pdaTKEAm\n7LJgMZsUsHCIN/QFLj6BZKjqVI6pw7ubNIcrX9D2hkg3eV6XyjKMq0otOZkVJ9vnToddw9q2Kjai\nm+RMNhnhoMbTT1OEaaJdtqRm0at9K5x/eF/HzwDNpHDm2F6mz2XMuZUQwRbRBGjakUxH0BCJJUxh\n3eBhTtugZDZVs5w6rT5WUyCoqLm3nDiwqyYMVd/Mr44agPevmoQBXdxj/r2QAsnJjOLEwC4VuOP0\nEbj7R6Ndz5GRUNaQTb8Z1qMt1t45DX8+cyQe8wgzBYBD+3XAH06xZwEG4lruaaOTS7aZKv27aKHb\nf/rBCNdJUyJyPfAnQ8EKBykbLpjQFze65HlJBdWhJAfXZNNuj+hpX7iU7mIX2cdOccg6u0MZnKT9\nkogwQI8ekbMzOUh7zc7U7SUf+PFY3Hv2aP163vWTkRj9O1fYBqyOFXGVvDESxSmje5o+t+69LCkt\nDjmG3AJxNf/BD75LmPbYS3N4a2k8pt5txToAzL1uiutnlyupV5yQv4Mq2EMh8lwLkAi5psVpBa4T\nRIRzDulji+VX+d3UwZh99VEpzd4z4YfjeicURDMuPgznuYTvdq4sxbe3nZBUeG86dG/bCitvP8HR\nb5IIGXDGwqEZIUPCRFIp9dIjma38Ft5wrCklgsSalveIAZ2MwfTCI/riaYfEZD8+pA+uOUGLqGqK\nxvDcRYfigXPGGp9vVzSH//zyMMy//hgA8UVtcpYpB9FXLz/ClnZYYrXzThvRHZcfPcDmgLfy8yP6\n4bXLj8BBB7S33eMhfTvgXN1h2hCJoUN5Ce46c6TxuQwA+M1xg7D2zmmGPb2itNg1uZyMd1+xtQaf\nr/beQMlLY/pOCQZY5pGrqEulVkdrZNbJo3okHEyrOpkHQOtamHR46oLxuOyoAb6meW5VErb50po7\nJUX2lC5+UuyQMiYZZPJLr0COfFGwwuG00T0womfbjExKVg60LPdPRnNwc3pbZ3rRmDBs8MXhEA7r\n39E227j99BE4QF+dHIkJHNa/I6aN7I6/naXFpqtmldYlRehUoanAPxrXG8cP64qz9PBGGd3RobzE\n09mpUhQO4arjDnRNhSAJhQjDdU3JqjncctpwTD5QcwrKcOGhSoTGIItpZeavNAddJBozOYR/qySg\n66EMyGt2eKfDVteWePmLGqMxI+++ivp7WJ2Hbini1UFhuKJBzrvuGLxsSV6YDgd2q8Rvjj8wp/Hx\nTPJIV1m6/o5sUrDCoWNFKV69/Ahf7aaPnHuQ6X0mm4CrD/MvJ/fHHWeMMNn5i8Mh/PAgzSZ/4ohu\nhiYxaVBnXHRkX1NK5NMs5hkrvTu0xiPnjkPfTs5pL7KFFCSdKkowunc7tCkrxpQhXTHvumNwpB45\norbh6WN64o7TR+DnejRP+/IStCkrwvd1jfhk1Q5MHdYNJwzvhvMP72sIvg7lJVhys5bYTUYcyUVY\n1hw8972nhUmeMqqHoQG40c3Br6CGXvZq3xrDe7YxhMio3s45j2Rs/7zrjjE5jTtXlppSKjAtExm1\nd2jfzLLUZgPufT5iDUfL1I74n18ejratig1b9BA92di6nZqJ48rjBmHHvkbcftoIw0ZcVhzGddPM\nPhQiwrUnDMYIh9muSttWxbjoyL7GBvRWVt5+AgZe92ZG96TSsbwUZ4zpifMOrzJpKKpTT9WqQiHN\nHq5SFA5h7prvEYkJnDq6B07QneMyV1PPdq1QqW/HOGvZVgDAddOG4NB+HVESDqEoFMITn2j3K9eJ\nXHhEX5SXFuHfX6zDPz9ZayqvT4fWWP99HU4f0xNvf73V9d7CIcJrlx8JIQQ+X/09Du3XwfG8K6YM\nxG2vf5Nw4SHTMjmsf0d8ecOxnj6efME90keKlIVDt5w6LOOc9dZ8LDKaZZOeW6hLZVnCKA7JLybZ\nNxdy4rppQ3H04K4oKbILtlRXfyYiHCLcfZZ7VAxgz1tjpXVJ2DCDqQ/Y2D7t8el3OzFhYCcQkcmk\nVt8UNTSSG04agiHdK3G1svtbaXEIA7pU4KaTh+HlhRtx7NCuxn4NMy4+FKVFIXSsKMXMyyZg+ZYa\n/Ghcb/y/GV+aFilKiLz3Lvj5kf0MTYgpTJqjYABYOPiKqjmoi3T8YnC3Svzs8Cr8cFyvxCdngHUw\n+8HYXgl3zssWiYTDGWN74b73VgIwZ8d84Jyx2Fnb6Bjfr8a7ExHOPKgXnp+3AfP1FedqzqjFN2km\nKSkcVB/GyF7tMLKXpvHce/YYz/QbDBM0CtbnkA2yHXEQChFuPmVYyjn7M+WvPxqFO3+gRQ317tDK\nNaQ0GyRy6p+vhCdWKT6T9uUlhjkOAKaP18xRN540FCcMNy9yJCLDEQ4454xKBnb6Mi0J1hx8JNEy\n/pbAR785Ktnkor4gozgucTGLtS8vwVu/PhIdy0s9VwHfftpw3HbacFc/0DmHHIC/6EnOnLLNfnrN\n0Y4b/zBMS4WFg480x1hlv8lHyJ3MUOnG4G6JE5IlqneH8hL0at8K1bv2O0aZ9cjRgi+GaS6wcPAR\n6bC15olngsFrlx+BBet25XSfXoZprrBw8JFwiPDdHSc6JvVjmj/tWpdgyhD3rS4ZppBg4eAzzTFH\nCsMwTKq0fA8qwzAMkzI5EQ5ENJWIVhDRKiK6xuHzUiJ6Xv/8CyKqykW9GIZhGGeyLhyIKAzgAQAn\nABgKYDoRWXNkXwhglxBiAIC/AfhTtuvFMAzDuJMLzWE8gFVCiNVCiEYAMwCcajnnVABP6a9fAjCF\neEURwzBM3siFcOgJYIPyvlo/5niOECICYA+A5pemkGEYpkDIhXBw0gCsSWiSOQdEdDERzSei+du3\n2zelZxiGYfwhF6Gs1QDU/fN6Adjkck41ERUBaAvAtm2XEOJRAI8CABFtJ6J1ADoBcN4GLPtw2YVR\nbqGWXYj3XAhlH5D4lNwIh3kABhJRXwAbAZwN4BzLOTMBnAfgMwBnAnhfJEhxKYToDABENF8IkVze\nap/hsguj3EItuxDvuZDLtpJ14SCEiBDRZQBmAQgDeEIIsYyIbgEwXwgxE8DjAJ4holXQNIazs10v\nhmEYxp2crJAWQrwB4A3LsRuV1/UAfpiLujAMwzCJaQkrpB/lsgum7EK853yWXYj3XMhlmyDevYph\nGIax0hI0B4ZhGMZnWDgwDMMwNlg4JCCfaTwKMYUIt3duKdT2zlfZQepjgRAORNROeZ3rxi3JcXkq\n7QBAXxiYM7i9ub1zRAVgJOfMNca+rzlucxYOfkBEJxDRRwAeIKJrASDR4jgfyz6RiN4CcC8RnZuL\nMpWy2xLR2wDeAox8U7kol9sb3N5ZLpeIqAsRfQjgMQAQQkRzWP40InoXwH1E9GO9/Ky3ud7e/wPw\nZyKanO3y/KDZCgciGg/gZgB/hRbeNZaIhueg3CIi+j2APwC4B8DHAE4kopOzXbZCPYBdAIYT0Q/1\nemV1dsXtze2d7bIBYyCu1/9GEtEJer1ysX3AcdDa/F4AcwEcTUQ9slxmMRH9VS/3YWhJRacT0SHZ\nLNcPmq1wADABwGx9BfUGAFEA38lOlC1VUJ81rgZwthDiLWipPTYhR+q3Pii1A/A5gLMA3K/XK5pl\n9Zfbm9s76+j31wvAIgDXALhRr1csB8VPAjBLCPEqgPkAioUQ1jxvviKEaAKwAsB0IcSb0LSldtB+\n72ZNs9lDmoiuADACwFwhxD8AvAvgLSIqA3A6tA79ELQH6Qafyz4PwCYhxDv6oZcBRIioWAhRQ0S9\nALT2s0ylbHnfnwH4pz4o7QUwTQhxDBEtIaIbAbwshFhKROSHGsztze2dw/buAWCeEOI/QogYEW0C\nMAjAXwBsJqJLALwnhFiZpbIXCiFeAPA6gLeJqBhaLrcVRPQPvW6P+vhbnwlggxDiC/3Qk9Dau0QI\nsYmIKhGELQmEEHn/A/AzaDO3qQA+gvZwtAPQHsDdAE7WzxsCYCmAYT6V2x7a5kKbASwBENaPh5Rz\nygC8AuDAHNz37wH0B9AFwG36ORcAiEDLQwVosx1ub27vZt3e0Byv/wfgE2jJNL/R26EDgHEAbtLP\n+w2AWgCv6u+LslT2z6FNhgcAeALAEfq5JwJ4E0CVD+V20X/fTXqbhhzauz2A9wB087t/+/3XXMxK\nUwD8SWhq7lUAigFcJoTYBW2GsU4/bzm0GV+pH4Xq138b2kO5ALqKa6EdgDIhxAoi6k1EP/CjbB3r\nfZdByzG1H8AJupP0CgDvI94GfjhLub25vSVZaW+hjYRHAbheCPEStMF6NIBjAWwBMJGI3gBwPrRB\nfLX+1YzNLS5lDwdwlhBiFYC+0AQmAHwFYCsc9o9Jo9xtAP4HbRKwGcAv5EfKaQcA2COE2EJEvYjo\n6EzLzRZ5FQ6KE+pLACcBgBBiPoBPAVSRttf0+wAeI6LWAK6H9iNX+1C2tOk+LYTYDeBBAGcQ0QFC\nU32lya0fgEoi+jU0+2xnH8r2uu++AI4A8A40E8RoIcRxACYTUV+942ejXG5vbu+02tvqH1Huez6A\nIwFAF4wrAIyEJiQ2QDPnDIOWhXkyEfVMtb1TLHs0EQ2ANnO/Sz/vfGg7Ue7yqdz7AXwNTShPI6Lu\nQgihtHdPAGEiuhyamatbKuXmkpwKByLqpv8PASYn1CcAQkQ0UX+/FNoDMlgIcTe0H/YlAEMBnKFL\n6EzLFvr/ev3/PGjq5e36ezljPAjAYdDU0WlCiIfTKHuYbluGfm23+14Gbc+LSgA3CiGuVy7TRwix\nJkvlZqO9rWXnsr0nEFF/pexctXey5Wajva1l56y9oawZ0K8t73sVNMEzQn8/G0AbANsBXCKEuEk/\n/3sAE4QQG7NY9kcAyqFpSg8CKCItnHYYgHOFEHv9KFcI0aS37afQNMEr9OOyvY8FcDK09j5RCPFs\niuXmjlzYrgCMgSat/2E5Lm1yHaDZHh9A3C76EIBr9dclANr5XDZBsQXqx/pAsw0PA9AVmtNoOIAj\n0yx7JIA5AP4LoGeS9/0wgKv112FrHbNYrl/t7VZ2Ltp7LLQZWwOAsTls73TK9au93crORXsfCuA/\nAP4J4Djl3or0/wMA3AngSuXYTGiCQbY35bDsVwFcqr9uDaCLj+WSei/6vU2E5vzvBaCr8v1j0rnn\nXP9lVXMgjb8BeBrAU0KIi5TPQiIu5WugxVuXAPiLHk3QHpotEEKIRqGpxn6WLYSmXrciogq9nPXQ\nBrWvoM1yDhBCLBVCfJxeC+B6AC8JIU4X+qyIiMIJ7rsdgJ16faIivRC/dMrNqL2TKDtr7U1aLPkj\n0NYL3AdtY6nJSd532u2dYbmZ9u9EZWe1f5O2kOtBaIPfCgA/AdBef7YienmroO0EOQBa2CqgCbG1\n+udRoY+YOSq7HrpvQwhRJ1LU0BKUK4QQgohKiahUv7fZ0LTTpQA+JKKBQojPhRDvpnrPeSHb0gda\nXO/Tyvv+MHvvbwXwIoDBALpDC/v6HMAj0KVyFsv+A7QfeqT+fjo05+BdyCBKBZq5rj+0Xe/ksWOh\nDURyFnOb3/edr3JTKPvWLLV3BYAfA2ilv/8ZgH9AiXzRf2u/2zsv5aZQ9k3ZaG/9WlcAeER/3QvA\nc9Ac2/Lz26Dt8Fil3/tMaE7xR5CGdtYcyk6i3FsAPAM98gnAJQC2AfhTpu2djz//L6ipTYOU922g\nSdkbodleX4Y2mx8LLVLjWQADlPNDACrzVPahAPr6VHYlgJXQHJGvQJvZPQ3gWr3T+nLf+SrXp7J9\naW9YTBMALgTwsPwMmqnrWQD9/WzvXJbrU9l+9u/R0Lb0vQmaBvQhtBDRswAc7vBbVyB901leyvah\n3GPU90H78+9C2gzxdWgq9PUAypXProC2InIitDC9PwH4I4DOyjmZSPRMy85kBudV9u8BLARwiv5+\nIrRQt8Myve98letT2b63NxQbOzRTwlYA7eVn2WrvbJfrU9l+tneF8tl4aIPjD/T3F0LTXkZl6b5z\nUrYP5WZk8Wguf376HMqhzRQv11/LyAwIIe4DcJQQYrYQogHarHIcgDrA5n/IR9mZxFa7lg3gNWgz\n5g76+/nQYrzrlbLTve98letH2b63t9CI6dFoa/VzJsnPlLJ9be8clOtH2X6295HyAyHEXGihr3Kd\nxvvQBtZdStl+3neuys603GafGiMZMhIORPRTIppERG2E5nx8FMAL0AaCQ0hJaiW0BTmSgxDPJ4N0\nfsRmXnZP/dpLAFwN4FdE1AmaA2sE4g7QlMrOV7kBKLuHfh7p15chtFIgUTpl56vcAJVdCi1k81L9\nq1OgTQpk+Gxgys7nPTdXUhYOehRQdyL6AFp+kh8DeIiIOgkh6oUQddDyxrQHcLTyvVIimkxE8wEc\nD+BOocdgt+SyhRCPQ3Nc3QzgBwB+LrSokWZdbhDLFkII0iJ19kEzuRwqjzf3cgNW9hS9jAZozt4K\nIpoNzeF9mUg9CigvZefzngOBm73J6Q/xmN5BAP6lvy6CtirwZcu5/wctaqAt4hEVhwM4LZUyA152\npXI85WiFfJUb4LJb56m9Myo3oGW3U56tVgD6BansfN5zUP6SbcgiAHdAc+ZOgrbC7ynlc4KWS2SS\ncqwCWr74edAcZT3S7DxBLXtuumXnq9xCLbsQ79nHZ6tnkMrO5z0H7S+hWYmIJkGLEW4PbUn6rQCa\nABxF2oYlEFoL3gLNjCCZBs0utwjACJFG3vSAl704nbLzVW6hll2I9+xT2fLZSjnlRb7Kzuc9B5Ik\nJO2R0HKPyPcPAvgltEU3C/RjIWgJpF5AfAHIqQAmZiK5CrHsQrxnbm8uu6X/1kH8S6ZBW0NbHyBt\ndD8G8Ef99SIAl+uvxwF4ztfKFWDZhXjP3N5cdkv/rYP4l9CsJLQcJA0iHrt7LLSsioCW7nYIEb0G\nLTplIWBPZ5suhVh2Id5zPssuxHsu1LLzec+BJAWpG4amcr0JfUk4tFWZ7aDlw8+ak6YQyy7Ee+b2\n5rJb+m8dpL9U1jnEoO1gtQPASF3C3gAgJoSYI7LrpCnEsgvxnvNZdiHec6GWnc97Dg4pStxDoTXs\nHAAX5lKKFWLZhXjP3N5cdksuN0h/pDdUUhBRLwDnArhbaCsFc0Yhll2I95zPsgvxngu17Hzec1BI\nSTgwDMMwhUFO95BmGIZhggELB4ZhGMYGCweGYRjGBgsHhmEYxgYLB4ZhGMYGCweGSQIiihLRIiJa\nRkSLiehK0rbn9PpOFRGdk6s6MoyfsHBgmOTYL4QYLYQYBi0nz4kAbkrwnSoALByYQMLrHBgmCYho\nnxCiQnnfD9rmL50AHADgGWib0QPatpGfEtHnAIYAWAPgKQD3AbgTwGRo2UEfEEI8krObYJgUYOHA\nMElgFQ76sV0ABgOogZaXp56IBkJL9zyOiCYD+I0Q4iT9/IsBdBFC3EbaRvWfAPihEGJNTm+GYZKg\nKN8VYJgAI9M5FwP4OxGNBhCFti+xE8dBS/R2pv6+LYCB0DQLhmlWsHBgmDTQzUpRANug+R62AhgF\nzY9X7/Y1aBvKzMpJJRkmA9ghzTApQkSdATwM4O9Cs8u2BbBZCBGDlswtrJ9aA6BS+eosAL8komL9\nOoOIqBwM0wxhzYFhkqMVES2CZkKKQHNA361/9iCA/xDRDwF8AKBWP74EQISIFgN4EsC90CKYFuo7\njG0HcFquboBhUoEd0gzDMIwNNisxDMMwNlg4MAzDMDZYODAMwzA2WDgwDMMwNlg4MAzDMDZYODAM\nwzA2WDgwDMMwNv4/vSXf7S3NElYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['Volume'].plot(legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21272aa38d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Me1t/TiAtB067B169LphWugbmPerWRx7nJrf55G6Y+evgPkueb3ycfhOgx4j2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\nGGOMacaCgzHGmGb+PwIk7rSkwUbqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['Adj Close'].plot()\n",
    "amazon['Adj Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-09-21</th>\n",
       "      <td>66.400002</td>\n",
       "      <td>62.959999</td>\n",
       "      <td>65.379997</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22355100</td>\n",
       "      <td>63.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-22</th>\n",
       "      <td>63.270000</td>\n",
       "      <td>61.580002</td>\n",
       "      <td>62.939999</td>\n",
       "      <td>61.900002</td>\n",
       "      <td>14897900</td>\n",
       "      <td>61.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-23</th>\n",
       "      <td>62.299999</td>\n",
       "      <td>59.680000</td>\n",
       "      <td>61.959999</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>22684600</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-24</th>\n",
       "      <td>60.340000</td>\n",
       "      <td>58.209999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>20645700</td>\n",
       "      <td>59.919998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>60.840000</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>60.630001</td>\n",
       "      <td>59.240002</td>\n",
       "      <td>17009100</td>\n",
       "      <td>59.240002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close    Volume  Adj Close\n",
       "Date                                                                       \n",
       "2015-09-21  66.400002  62.959999  65.379997  63.900002  22355100  63.900002\n",
       "2015-09-22  63.270000  61.580002  62.939999  61.900002  14897900  61.900002\n",
       "2015-09-23  62.299999  59.680000  61.959999  60.000000  22684600  60.000000\n",
       "2015-09-24  60.340000  58.209999  59.419998  59.919998  20645700  59.919998\n",
       "2015-09-25  60.840000  58.919998  60.630001  59.240002  17009100  59.240002"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alibaba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "alibaba['high-low'] = alibaba['High'] - alibaba['Low']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>high-low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-09-21</th>\n",
       "      <td>66.400002</td>\n",
       "      <td>62.959999</td>\n",
       "      <td>65.379997</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22355100</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>3.440002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-22</th>\n",
       "      <td>63.270000</td>\n",
       "      <td>61.580002</td>\n",
       "      <td>62.939999</td>\n",
       "      <td>61.900002</td>\n",
       "      <td>14897900</td>\n",
       "      <td>61.900002</td>\n",
       "      <td>1.689999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-23</th>\n",
       "      <td>62.299999</td>\n",
       "      <td>59.680000</td>\n",
       "      <td>61.959999</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>22684600</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>2.619999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-24</th>\n",
       "      <td>60.340000</td>\n",
       "      <td>58.209999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>20645700</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>2.130001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>60.840000</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>60.630001</td>\n",
       "      <td>59.240002</td>\n",
       "      <td>17009100</td>\n",
       "      <td>59.240002</td>\n",
       "      <td>1.920002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close    Volume  Adj Close  \\\n",
       "Date                                                                          \n",
       "2015-09-21  66.400002  62.959999  65.379997  63.900002  22355100  63.900002   \n",
       "2015-09-22  63.270000  61.580002  62.939999  61.900002  14897900  61.900002   \n",
       "2015-09-23  62.299999  59.680000  61.959999  60.000000  22684600  60.000000   \n",
       "2015-09-24  60.340000  58.209999  59.419998  59.919998  20645700  59.919998   \n",
       "2015-09-25  60.840000  58.919998  60.630001  59.240002  17009100  59.240002   \n",
       "\n",
       "            high-low  \n",
       "Date                  \n",
       "2015-09-21  3.440002  \n",
       "2015-09-22  1.689999  \n",
       "2015-09-23  2.619999  \n",
       "2015-09-24  2.130001  \n",
       "2015-09-25  1.920002  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alibaba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21275cb12e8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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1KxXJr1Q4yyEe5TDf9J+XQv63G2EChfnsDLdys3OxlO5+lz/tVCQAsH5bs+vn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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['high-low'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# daily return\n",
    "alibaba['daily-return'] = alibaba['Adj Close'].pct_change() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21272b8bef0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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uAKX33Mg8f8vrYx/sBgC8v62mR1RDd7k5TAbWYyyB3YGtoA8abU50uDxYsnqf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RXtZaBycV69Ixa0CZ9VZmNz0RJtt+O5T7dafhb+u1pcZrRatMlJHnp0TtYN2/Bl3bZMPmnpzGWr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\nzP8AQrIUjpLAL2kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['daily-return'].plot(figsize=(10,4),linestyle='--',marker='o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21275d9bba8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NpreAqKqXzDPpaR19Czirr1okSeNbKQepJUkrjAEhSepkQEiSOhkQkqROBoQkqZMBIUnq\nZEBIkjoZEJKkTgaEJKmTASFJ6mRASJI6GRCSpE4GhCSpkwEhSepkQEiSOhkQkqROBoQkqZMBIUnq\nZEBIkjr1dk/qhSS5FfgRcC9wT1VNJzkS+DCwDrgV+N2q+v4k6pMkTXYL4qlVtaGqptv42cAVVbUe\nuKKNS5ImZCXtYjoN2NyGNwOnT7AWSTrgTSogCvjfSa5OsrG1PaKqdgK056MnVJskiQkdgwCeUlU7\nkhwNbEnyzVFnbIGyEeDYY4/tqz5JOuBNZAuiqna05zuBjwMnAnckWQ3Qnu+cZ95NVTVdVdNTU1PL\nVbIkHXCWPSCSPCTJ4bPDwO8A1wGXAme2bmcCn1zu2iRJvzSJXUyPAD6eZPb1P1hV/yvJVcAlSV4J\nfBt40QRqkyQ1yx4QVXUz8PiO9u8CT1vueiZh3dmXTboESVrUSjrNVZK0ghgQkqROkzrNVdrvTWpX\n4q3nPWcir6v9j1sQkqROBoQkqZMBIUnqZEBIkjoZEJKkTgaEJKmTASFJ6mRASJI6GRCSpE4GhCSp\nkwEhSepkQEiSOhkQkqROBoQkqdMBe7lv7+omSQtzC0KS1GnFBUSSZyW5Mcn2JGdPuh5JOlCtqF1M\nSQ4C/gfwDGAGuCrJpVX1jclWJu07vJOdlspK24I4EdheVTdX1c+Ai4HTJlyTJB2QVtQWBLAGuG1o\nfAZ48oRqkTSGSZ74Mamtl/39Pa+0gEhHW92nQ7IR2NhGf5zkxjn9jwK+00Nte8u6xrMS61qJNYF1\nkbeO1X2/WF9jvue5/sUonVZaQMwAxwyNrwV2DHeoqk3ApvkWkGRrVU33U96es67xrMS6VmJNYF3j\nsq7RrbRjEFcB65Mcl+SBwBnApROuSZIOSCtqC6Kq7knyWuDvgYOA91XV9RMuS5IOSCsqIACq6nLg\n8r1YxLy7nybMusazEutaiTWBdY3LukaUqlq8lyTpgLPSjkFIklaIfSYgkhyZZEuSm9rzEfP0O7P1\nuSnJma3t8CTbhh7fSfKONu33kuwamvaq5aqrtX++XVpk9vWPbu2HJvlwu+TIV5KsW46akjw4yWVJ\nvpnk+iTnDfXfo3W12OVTFnqvSc5p7Tcmeeaoy+yzriTPSHJ1kq+351OG5un8PJeprnVJfjr02u8e\nmueJrd7tSS5I0nVKeR81vXTO797Pk2xo05ZjXf12kmuS3JPkhXOmzfc7uVfram/qSrIhyT+0371r\nk7x4aNqFSW4ZWl8bxq1rbFW1TzyAPwfObsNnA2/t6HMkcHN7PqINH9HR72rgt9vw7wHvnFRdwOeB\n6Y55/gB4dxs+A/jwctQEPBh4auvzQOD/AM/e03XF4GSDbwGPasv7GnD8KO8VOL71PxQ4ri3noFGW\n2XNdJwCPbMOPA24fmqfz81ymutYB182z3CuBf83gu0afnv1M+65pTp9/Bdy8zOtqHfCbwEXAC0f8\nndzjdbUEdT0aWN+GHwnsBFa18QuH+y7HY5/ZgmBwyY3NbXgzcHpHn2cCW6rqe1X1fWAL8KzhDknW\nA0cz+MO3YupaZLkfBZ42xn8ye1xTVd1dVZ8DqMHlTq5h8H2UPTXK5VPme6+nARdX1e6qugXY3pa3\nFJdk2eO6quqrVTX7/ZzrgcOSHDrm6y95XfMtMMlq4GFV9Q81+EtzEd0/E33X9BLgQ2O87l7XVVW3\nVtW1wM/nzNv5878E62qv6qqqf6yqm9rwDuBOYGrM118y+1JAPKKqdgK0567N0a5LdayZ0+clDP67\nGT46/4K2OffRJMcwnqWo6/1tk/FPhn6pfjFPVd0D/BD4lWWsiSSrgOcCVww1j7uuRvlM5nuv8807\nyjL7rGvYC4CvVtXuobauz3O56jouyVeTfCHJbw31n1lkmX3WNOvF3D8g+l5X4867t+tqb+v6hSQn\nMtgC+dZQ87nt9+/8JfynZF4r6jTXJJ8BfrVj0h+PuoiOtrmnaZ0BvGxo/O+AD1XV7iSvYfBf0CnD\nM/Rc10ur6vYkhwMfa7VdtMg8va+rJAcz+GW+oKpubs2LrqtxX2eRPvO1d/1jM+7peHtT12Bi8ljg\nrcDvDE2f7/Ncjrp2AsdW1XeTPBH4RKtxlGX2VdNgYvJk4O6qum5o+nKsq3Hn3dt1tdCyR1/AYEvm\nA8CZVTW7lXEO8P8YhMYm4PXAn45Z21hWVEBU1dPnm5bkjiSrq2pnW3l3dnSbAU4eGl/LYD/n7DIe\nDxxcVVcPveZ3h/q/h8Ev/LLVVVW3t+cfJfkgg83Ti/jlZUdm2h/rhwPfW46amk3ATVX1jqHXXHRd\nzfM6C14+hfnf60LzLrbMPusiyVrg48DLq+oX/+Et8Hn2XlfbKt7dXv/qJN9isE97hvvuJhx3fe3V\numrOYM7WwzKtq4XmPXnOvJ9n79fV3tZFkocBlwFvrKovz7bP7hUAdid5P/Cfx6xrfMt5wGNvHsB/\n574HXv+8o8+RwC0MDjod0YaPHJp+HvCWOfOsHhp+PvDl5aqLQUAf1focwmDf7Wva+Fnc96DfJcu1\nroA/Y/Af3QP2dl2193gzg4PMswfsHjunT+d7BR7LfQ9S38zgAOCiy+y5rlWt/ws6ltn5eS5TXVPA\nQW34UcDtQ5/pVcBJ/PLA66nLUVMbfwCDP5qPWu51NdT3Qu5/kHq+n/89XldLUNcDGezSfV1H39Xt\nOcA7gPPGqWtPHr0ufEkLHezPvAK4qT3PfpjTwP8c6vcfGBzM3A68Ys4ybgYeM6ftvzE40Pg14HNz\np/dZF/AQBmdUXdtq+MuhX/DDgI+0/lcO/3L1XNNaBpvDNwDb2uNVe7OugFOBf2SwL/WPW9ufAs9b\n7L0y2GX2LeBGhs4m6VrmHvxM7VFdwBuBnwytn20MjvPM+3kuU10vGPp8rgGeO7TMaeC6tsx30r4k\n23dNbdrJzPlnYhnX1ZMYhNNPgO8C1y/2t2Jv19Xe1AX8e+Cf5/xsbWjTPgt8vdX218BD9+TnfpyH\n36SWJHXal85ikiQtIwNCktTJgJAkdTIgJEmdDAhJUicDQpLUyYCQJHUyICRJnf4/GI/TTPPHyKAA\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alibaba['daily-return'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21275e06160>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jNTeV1NxUkrOSSUhNIDE1kbiEuP++YLMFDmFb9ufLAo8HnDU43HHkOs7c3yaV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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(alibaba['daily-return'].dropna(),bins=100,color='purple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
